Multimodal analysis of mother-child interaction using hyperscanning and diffusion maps.

IF 3.9 2区综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES

Scientific Reports Pub Date : 2025-02-13 DOI:10.1038/s41598-025-90310-x

C Gashri, R Talmon, N Peleg, Y Moshe, D Agoston, S Gavras, A G Fischer, T Horowitz-Kraus

引用次数: 0

Abstract

The current work aims to reveal mother-child synchronization patterns using several interaction modalities and combining them using the diffusion maps method. Twenty-two Hebrew-speaking toddlers (ages = 33 ± 5.38 months, 17 males) and their mothers (ages = 35 ± 5.79 years) participated in two interaction conditions while data was collected from several modalities, i.e. EEG, joint attention (measured through video coding of looking behavior), and motion analysis. Dimension reduction and data fusion of these modalities were performed using diffusion maps to enable a comprehensive assessment of mother-child synchronization dynamics. This multimodal approach allows better characterization of mother-child interaction and examining the associations between interaction patterns and maternal parenting style and their importance to the child's long-term language abilities.

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使用超扫描和扩散图对母子互动进行多模态分析。

目前的工作旨在揭示母子同步模式使用几种交互模式，并结合他们使用扩散图方法。22名讲希伯来语的幼儿（年龄= 33±5.38个月，男性17名）和他们的母亲（年龄= 35±5.79岁）参与了两种互动条件，同时通过多种方式收集数据，即脑电图、共同注意力（通过观看行为的视频编码测量）和动作分析。使用扩散图对这些模式进行降维和数据融合，以便全面评估母婴同步动态。这种多模式方法可以更好地描述母子互动，并检查互动模式和母亲养育方式之间的联系，以及它们对儿童长期语言能力的重要性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Scientific Reports Natural Science Disciplines-

CiteScore

7.50

自引率

4.30%

发文量

19567

审稿时长

3.9 months

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